CN116307959A - Data processing method and device for material distribution - Google Patents

Data processing method and device for material distribution Download PDF

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CN116307959A
CN116307959A CN202111470764.3A CN202111470764A CN116307959A CN 116307959 A CN116307959 A CN 116307959A CN 202111470764 A CN202111470764 A CN 202111470764A CN 116307959 A CN116307959 A CN 116307959A
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information
time
delivery
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李应新
刘赞
陈克剑
罗志辉
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Zhuzhou Ruidel Intelligent Equipment Co ltd
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Abstract

The invention discloses a data processing method and a device for material distribution, wherein the method comprises the following steps: acquiring real-time line side information of a material; judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judgment result; when the first judgment result is yes, processing real-time line side information of the materials by using a preset material dynamic distribution rule to obtain material distribution parameter information; processing material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set; the delivery instruction set is used for indicating material delivery. Therefore, the invention can determine the distribution parameter information through judging the real-time line side information of the materials and the distribution conditions and comprehensively processing the real-time line side information of the materials by utilizing the dynamic distribution rule of the materials, and generate the distribution instruction for indicating the distribution of the materials, thereby being beneficial to realizing the accurate matching of the material requirements and the distribution, further reducing the material distribution cost and improving the operation efficiency.

Description

Data processing method and device for material distribution
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and apparatus for material distribution.
Background
At present, material distribution is generally obtained by processing information such as material demand and distribution time according to manual statistics, and accurate matching of the material demand and distribution is still difficult to achieve. Therefore, it is important to provide a data processing method and device for material distribution, so as to achieve accurate matching between material demand and distribution, further reduce material distribution cost, and improve operation efficiency.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a data processing method and a data processing device for material distribution, which can determine distribution parameter information through judging real-time line side information and distribution conditions of materials and comprehensively processing the real-time line side information of the materials by utilizing a dynamic material distribution rule, and generate a distribution instruction for indicating material distribution, thereby being beneficial to realizing accurate matching of material requirements and distribution, further reducing material distribution cost and improving operation efficiency.
To solve the above technical problem, a first aspect of an embodiment of the present invention discloses a data processing method for material distribution, where the method includes:
acquiring real-time line side information of a material;
judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judgment result;
when the first judgment result is yes, processing the real-time line side information of the materials by using a preset material dynamic distribution rule to obtain material distribution parameter information;
processing the material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set; the delivery instruction set is used for indicating material delivery.
In a first aspect of the embodiment of the present invention, the processing the real-time line side information of the material using a preset material dynamic distribution rule to obtain material distribution parameter information includes:
processing the real-time line side information of the material by using a preset distribution time determining rule to obtain distribution time information;
and processing the real-time line side information of the materials by using a preset distribution quantity determining rule to obtain distribution quantity information.
In an optional implementation manner, in a first aspect of the embodiment of the present invention, the processing the real-time line side information of the material using a preset distribution time determining rule to obtain distribution time information includes:
acquiring a line edge safety stock value;
processing the line-side safety stock value and the real-time line-side information of the material by using a preset first distribution time model to obtain a first distribution time;
processing the real-time line side information of the material by using a preset second distribution time model to obtain second distribution time;
and processing the first delivery time and the second delivery time by using a preset third delivery time model to obtain delivery time information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the real-time line side information of the material includes a dispensing period and a consumption speed;
the processing the real-time line side information of the material by using a preset distribution quantity determining rule to obtain distribution quantity information comprises the following steps:
determining periodic delivery quantity according to the delivery period;
and processing the periodic distribution quantity and the consumption speed by using a preset demand correction model to obtain distribution quantity information.
In an optional implementation manner, in a first aspect of the embodiment of the present invention, the determining, according to the dispensing cycle, a periodic dispensing amount includes:
determining the total demand amount in the current period according to the distribution period;
solving the model according to the current demand total amount and the preset amount, and determining a target amount model;
and analyzing the target quantity model to obtain the periodic distribution quantity.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the material distribution parameter information includes distribution time information and distribution quantity information;
the processing the material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set, including:
acquiring current time information;
judging whether the current time information and the delivery time information meet a time condition or not to obtain a second judging result;
and when the second judgment result is yes, determining a distribution instruction set according to the distribution quantity information.
In an optional implementation manner, in a first aspect of the embodiment of the present invention, the determining a delivery instruction set according to the delivery quantity information includes:
processing the real-time line side information of the material to obtain distribution path information;
acquiring distribution vehicle information;
generating a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used for indicating the delivery vehicle to load the materials with the quantity matched with the delivery vehicle;
generating a material distribution instruction according to the distribution path information and the distribution vehicle information; the material delivery instruction is used for indicating the delivery vehicle to deliver the material to the line side.
A second aspect of an embodiment of the present invention discloses a data processing apparatus for material distribution, the apparatus comprising:
the acquisition module is used for acquiring real-time line side information of the materials;
the judging module is used for judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judging result;
the first processing module is used for processing the real-time line side information of the materials by utilizing a preset material dynamic distribution rule when the first judgment result is yes, so as to obtain material distribution parameter information;
the second processing module is used for processing the material distribution parameter information by utilizing a preset distribution instruction generation rule to obtain a distribution instruction set; the delivery instruction set is used for indicating material delivery.
As one such alternative implementation manner, in the second aspect of the embodiment of the present invention, the first processing module includes a first processing sub-module and a second processing sub-module, where:
the first processing sub-module is used for processing the real-time line side information of the material by utilizing a preset distribution time determining rule to obtain distribution time information;
and the second processing sub-module is used for processing the real-time line side information of the materials by utilizing a preset distribution quantity determining rule to obtain distribution quantity information.
In a second aspect of the embodiment of the present invention, the first processing submodule processes the real-time line side information of the material by using a preset distribution time determining rule, and a specific manner of obtaining the distribution time information is as follows:
acquiring a line edge safety stock value;
processing the line-side safety stock value and the real-time line-side information of the material by using a preset first distribution time model to obtain a first distribution time;
processing the real-time line side information of the material by using a preset second distribution time model to obtain second distribution time;
and processing the first delivery time and the second delivery time by using a preset third delivery time model to obtain delivery time information.
As one such alternative implementation, in the second aspect of the embodiment of the present invention, the real-time line side information of the material includes a dispensing cycle and a consumption speed;
the second processing sub-module processes the real-time line side information of the materials by using a preset distribution quantity determining rule, and the specific mode for obtaining the distribution quantity information is as follows:
determining periodic delivery quantity according to the delivery period;
and processing the periodic distribution quantity and the consumption speed by using a preset demand correction model to obtain distribution quantity information.
In a second aspect of the embodiment of the present invention, the determining, by the second processing sub-module, the periodic delivery amount according to the delivery period includes:
determining the total demand amount in the current period according to the distribution period;
solving the model according to the current demand total amount and the preset amount, and determining a target amount model;
and analyzing the target quantity model to obtain the periodic distribution quantity.
As one such alternative implementation manner, in the second aspect of the embodiment of the present invention, the material distribution parameter information includes distribution time information and distribution quantity information;
the second processing module processes the material distribution parameter information by using a preset distribution instruction generation rule, and the specific mode for obtaining a distribution instruction set is as follows:
acquiring current time information;
judging whether the current time information and the delivery time information meet a time condition or not to obtain a second judging result;
and when the second judgment result is yes, determining a distribution instruction set according to the distribution quantity information.
In a second aspect of the embodiment of the present invention, the specific manner of determining, by the second processing module, the distribution instruction set according to the distribution quantity information is:
processing the real-time line side information of the material to obtain distribution path information;
acquiring distribution vehicle information;
generating a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used for indicating the delivery vehicle to load the materials with the quantity matched with the delivery vehicle;
generating a material distribution instruction according to the distribution path information and the distribution vehicle information; the material delivery instruction is used for indicating the delivery vehicle to deliver the material to the line side.
In a third aspect the invention discloses another data processing apparatus for material dispensing, said apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform some or all of the steps in the data processing method for material distribution disclosed in the first aspect of the embodiment of the present invention.
In a fourth aspect, the present invention discloses a computer storage medium, where computer instructions are stored, where the computer instructions, when called, are used to perform part or all of the steps in the data processing method for material distribution disclosed in the first aspect of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the real-time line side information of the material is acquired; judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judgment result; when the first judgment result is yes, processing real-time line side information of the materials by using a preset material dynamic distribution rule to obtain material distribution parameter information; processing material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set; the delivery instruction set is used for indicating material delivery. Therefore, the invention can determine the distribution parameter information through judging the real-time line side information of the materials and the distribution conditions and comprehensively processing the real-time line side information of the materials by utilizing the dynamic distribution rule of the materials, and generate the distribution instruction for indicating the distribution of the materials, thereby being beneficial to realizing the accurate matching of the material requirements and the distribution, further reducing the material distribution cost and improving the operation efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a data processing method for material distribution according to an embodiment of the present invention;
FIG. 2 is a flow chart of another data processing method for material distribution according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data processing apparatus for material distribution according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another data processing apparatus for material delivery according to an embodiment of the present invention;
fig. 5 is a schematic structural view of a data processing device for material distribution according to still another embodiment of the present invention.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses a data processing method and a data processing device for material distribution, which can determine distribution parameter information through judging real-time line side information and distribution conditions of materials and comprehensively processing the real-time line side information of the materials by utilizing a dynamic material distribution rule, and generate a distribution instruction for indicating the material distribution, thereby being beneficial to realizing the accurate matching of material requirements and distribution, further reducing the material distribution cost and improving the operation efficiency. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a flow chart of a data processing method for material distribution according to an embodiment of the invention. The data processing method for material distribution described in fig. 1 is applied to a data processing system, such as a local server or a cloud server for data processing management of material distribution, which is not limited in the embodiments of the present invention. As shown in fig. 1, the data processing method for material distribution may include the following operations:
101. and acquiring real-time line side information of the material.
102. And judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judgment result.
103. And when the first judgment result is yes, processing the real-time line side information of the materials by utilizing a preset material dynamic distribution rule to obtain material distribution parameter information.
104. And processing the material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set.
In an embodiment of the present invention, the distribution instruction set is used to instruct material distribution.
Optionally, the real-time line side information of the material includes a dispensing cycle, and/or a consumption speed, and/or a real-time line side number, and/or a real-time line side time, which is not limited in the embodiment of the present invention.
Optionally, the distribution condition is that the real-time line edge number is less than or equal to the response inventory value.
Therefore, the data processing method for material distribution described by the embodiment of the invention can determine the distribution parameter information through judging the real-time line side information and the distribution condition of the material and comprehensively processing the real-time line side information by utilizing the dynamic material distribution rule, and generate the distribution instruction for indicating the material distribution, thereby being beneficial to realizing the accurate matching of the material requirement and the distribution, further reducing the material distribution cost and improving the operation efficiency.
In an optional embodiment, in step 103, the processing the real-time line side information of the material using the preset dynamic material distribution rule to obtain the material distribution parameter information includes:
processing real-time line side information of the materials by using a preset distribution time determining rule to obtain distribution time information;
and processing the real-time line side information of the materials by utilizing a preset distribution quantity determining rule to obtain distribution quantity information.
Therefore, the data processing method for material distribution, which is described by the embodiment of the invention, can process the real-time line side information of the material through the distribution time determining rule and the distribution quantity determining rule to obtain the distribution time information and the distribution quantity information, thereby being beneficial to realizing the accurate matching of the material requirement and the distribution, further reducing the material distribution cost and improving the working efficiency.
In another optional embodiment, the processing the real-time line side information of the material by using the preset dispensing time determining rule to obtain dispensing time information includes:
acquiring a line edge safety stock value;
processing the line edge safety stock value and the real-time line edge information of the material by using a preset first distribution time model to obtain first distribution time;
processing real-time line side information of the material by using a preset second distribution time model to obtain second distribution time;
and processing the first delivery time and the second delivery time by using a preset third delivery time model to obtain delivery time information.
Optionally, the line edge safety stock value is greater than or equal to the response stock value.
Optionally, the first delivery time model is
Figure BDA0003392003630000081
Wherein: t (T) 1 For the first delivery time, t is real-time line edge time, Q is real-time line edge number, S is line edge safety stock value, and v is consumption speed.
Optionally, the second delivery time model is
Figure BDA0003392003630000082
Wherein: t (T) 2 For a second dispensing time.
Optionally, the third delivery time model is
Figure BDA0003392003630000091
Wherein: t (T) 3 For the third delivery time, v c To distribute the vehicle speed, T f For the delivery correction time, λ is a time correction coefficient, and L is a delivery distance.
Therefore, the data processing method for material distribution, which is described by implementing the embodiment of the invention, can utilize the first distribution time model, the second distribution time model and the third distribution time model to comprehensively process the data information to obtain the distribution time information, thereby being beneficial to realizing the accurate matching of material requirements and distribution, further reducing the material distribution cost and improving the operation efficiency.
In yet another alternative embodiment, the real-time line side information of the material includes a dispensing cycle and a consumption rate;
the processing the real-time line side information of the material by using the preset distribution quantity determining rule to obtain distribution quantity information includes:
determining periodic delivery quantity according to the delivery period;
and processing the periodic distribution quantity and the consumption speed by using a preset demand correction model to obtain distribution quantity information.
Optionally, the dispensing quantity information includes a dispensing quantity, and/or a dispensing cycle, and/or material information, which is not limited in the embodiment of the present invention.
Optionally, the demand correction model is as follows
Q p ＝Q d ·v。
Wherein: q (Q) p For dispensing quantity, Q d For the periodic dispensing volume, v is the consumption rate.
Therefore, the data processing method for material distribution, which is described by the embodiment of the invention, can determine the periodic distribution amount through the distribution period, obtain the distribution amount information through further processing of the demand correction model, and is more beneficial to realizing the accurate matching of the material demand and distribution, thereby reducing the material distribution cost and improving the operation efficiency.
In yet another alternative embodiment, the determining the periodic delivery amount according to the delivery period includes:
determining the total demand amount in the current period according to the distribution period;
solving the model according to the current demand total amount and the preset amount, and determining a target amount model;
and analyzing the target quantity model to obtain the periodic distribution quantity.
In this optional embodiment, as an optional implementation manner, the specific manner of determining the current demand total amount according to the delivery period is:
screening the total demand to be selected, which is matched with the distribution period, from a preset total demand to be selected, and taking the total demand to be selected as the total demand to be used;
processing the real-time line edge quantity and the response inventory value to obtain a demand correction coefficient;
and processing the demand correction coefficient and the standby demand total amount to obtain the current demand total amount.
In this optional embodiment, as another optional implementation manner, the specific manner of determining the target number model according to the current demand total amount and the preset number solution model is:
inputting the current demand total amount into a quantity solving model to obtain an objective function;
and inputting the total amount of the current demand into a preset standby constraint model to obtain a target constraint model.
Optionally, the above number solution model is
Figure BDA0003392003630000101
Wherein: min (f) is an objective function, Q t To the total demand in the current period, C f For transportation cost, C e For fuel cost, q is the unit material consumption quantity, S s For line edge safety stock value, t t For production time, C p Stock cost per unit volume, V is material volume, C r Risk cost factor.
In this optional embodiment, as another optional implementation manner, the specific manner of analyzing the target quantity model to obtain the periodic delivery amount is as follows:
analyzing the target quantity model according to the preset allowance to obtain a distribution quantity interval;
and determining the periodic distribution quantity according to the real-time line edge quantity and the real-time line edge quantity.
Therefore, the data processing method for material distribution, which is described by the embodiment of the invention, can obtain the target quantity model through comprehensive processing of the distribution period, and analyze the target quantity model to obtain the periodic distribution quantity, thereby being more beneficial to realizing the accurate matching of material demand and distribution, further reducing the material distribution cost and improving the operation efficiency.
Example two
Referring to fig. 2, fig. 2 is a flow chart illustrating another data processing method for material distribution according to an embodiment of the present invention. The data processing method for material distribution described in fig. 2 is applied to a data processing system, such as a local server or a cloud server for data processing management of material distribution, which is not limited in the embodiments of the present invention. As shown in fig. 2, the data processing method for material distribution may include the following operations:
201. and acquiring real-time line side information of the material.
202. And judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judgment result.
203. And when the first judgment result is yes, processing the real-time line side information of the materials by utilizing a preset material dynamic distribution rule to obtain material distribution parameter information.
In the embodiment of the invention, the material distribution parameter information includes distribution time information and distribution quantity information.
204. And acquiring current time information.
In the embodiment of the present invention, the current time information includes a current time.
205. And judging whether the current time information and the delivery time information meet the time condition or not, and obtaining a second judging result.
206. And when the second judgment result is yes, determining a delivery instruction set according to the delivery quantity information.
In the embodiment of the present invention, for specific technical details and technical term explanations of the step 201 to the step 203, reference may be made to the detailed description of the step 101 to the step 103 in the first embodiment, and the detailed description of the embodiment of the present invention is omitted.
Optionally, the delivery time information includes a number of delivery times.
Optionally, the time condition is that the current time is equal to the dispensing time.
Therefore, the data processing method for material distribution described by the embodiment of the invention can determine the distribution parameter information through judging the real-time line side information and the distribution condition of the material and comprehensively processing the real-time line side information by utilizing the dynamic material distribution rule, and then generate the distribution instruction for indicating the material distribution through comprehensively processing the current time information and the material distribution parameter information, thereby being beneficial to realizing the accurate matching of the material requirement and the distribution, further reducing the material distribution cost and improving the operation efficiency.
In an alternative embodiment, the determining the delivery instruction set in step 206 according to the delivery quantity information includes:
processing real-time line side information of the material to obtain distribution path information;
acquiring distribution vehicle information;
generating a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used for instructing the delivery vehicle to load the materials with the quantity matched with the delivery vehicle;
generating a material distribution instruction according to the distribution path information and the distribution vehicle information; the material dispensing instructions are for instructing a dispensing vehicle to dispense material to the line side.
In this optional embodiment, the specific way of processing the real-time line side information of the material to obtain the distribution path information is as follows:
determining a path objective function and a path constraint condition according to the real-time line side information of the material;
obtaining analysis parameters;
processing the analysis parameters, the path objective function and the path constraint conditions by using a preset path planning model to obtain standby path information;
judging whether the standby path information meets a termination condition or not to obtain a path judgment result;
and when the path judgment result is yes, determining distribution path information according to the standby path information.
Optionally, the path planning model is an artificial intelligent model based on a dynamic step-size drosophila algorithm.
Optionally, the standby path information includes current optimal path information, and/or iteration number, and/or iteration error, which are not limited in the embodiment of the present invention.
Optionally, the parsing parameter includes an error threshold, and/or an iteration threshold, and/or a population size, and/or an upper penalty coefficient, and/or a lower penalty coefficient, and/or a time window satisfaction rate, which are not limited in the embodiment of the present invention.
Optionally, the specific way for obtaining the path judgment result by judging whether the standby path information meets the termination condition is as follows:
judging whether the iteration error is smaller than or equal to an error threshold value, and obtaining an error judgment result;
when the error judgment result is yes, the path judgment result is yes;
when the error judgment result is negative, judging whether the iteration times are equal to an iteration threshold value or not, and obtaining an iteration judgment result;
and when the iteration judgment result is yes, the path judgment result is yes.
Therefore, the data processing method for material distribution, which is described by implementing the embodiment of the invention, can obtain the loading instruction and the material distribution instruction through comprehensively processing the real-time line side information, the distribution vehicle information and the distribution quantity information of the materials, thereby being more beneficial to realizing the accurate matching of the material requirements and the distribution, further reducing the material distribution cost and improving the working efficiency.
Example III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a data processing device for material distribution according to an embodiment of the present invention. The device described in fig. 3 can be applied to a data processing system, such as a local server or a cloud server for data processing management of material distribution, and the embodiment of the invention is not limited. As shown in fig. 3, the apparatus may include:
the acquiring module 301 is configured to acquire real-time line side information of a material;
the judging module 302 is configured to judge whether the real-time line side information of the material meets the distribution condition, so as to obtain a first judging result;
the first processing module 303 is configured to process the real-time line side information of the material by using a preset material dynamic distribution rule to obtain material distribution parameter information when the first determination result is yes;
the second processing module 304 is configured to process the material distribution parameter information by using a preset distribution instruction generation rule, so as to obtain a distribution instruction set; the delivery instruction set is used for indicating material delivery.
Therefore, the data processing device for material distribution described in fig. 3 can determine the distribution parameter information by judging the real-time line side information and the distribution condition of the material and comprehensively processing the real-time line side information by utilizing the dynamic material distribution rule, and generate the distribution instruction for indicating the material distribution, thereby being beneficial to realizing the accurate matching of the material requirement and the distribution, further reducing the material distribution cost and improving the operation efficiency.
In another alternative embodiment, as shown in fig. 4, the first processing module 303 comprises a first processing sub-module 3031 and a second processing sub-module 3032, wherein:
the first processing sub-module 3031 is configured to process the real-time line side information of the material by using a preset distribution time determining rule to obtain distribution time information;
the second processing sub-module 3032 is configured to process the real-time line side information of the material by using a preset distribution quantity determining rule, so as to obtain distribution quantity information.
Therefore, the data processing device for material distribution described in fig. 4 can process the real-time line side information of the material through the distribution time determining rule and the distribution quantity determining rule to obtain the distribution time information and the distribution quantity information, which is favorable for realizing the accurate matching of the material requirement and the distribution, further reducing the material distribution cost and improving the operation efficiency.
In yet another alternative embodiment, as shown in fig. 4, the first processing sub-module 3031 processes the real-time line side information of the material by using a preset distribution time determining rule, and the specific manner of obtaining the distribution time information is as follows:
acquiring a line edge safety stock value;
processing the line edge safety stock value and the real-time line edge information of the material by using a preset first distribution time model to obtain first distribution time;
processing real-time line side information of the material by using a preset second distribution time model to obtain second distribution time;
and processing the first delivery time and the second delivery time by using a preset third delivery time model to obtain delivery time information.
Therefore, the data processing device for material distribution described in fig. 4 can be implemented to comprehensively process the data information by using the first distribution time model, the second distribution time model and the third distribution time model to obtain distribution time information, which is favorable for realizing accurate matching of material demand and distribution, further reducing material distribution cost and improving operation efficiency.
In yet another alternative embodiment, as shown in FIG. 4, the real-time line side information of the material includes a dispensing cycle and a consumption rate;
the second processing sub-module 3032 processes the real-time line side information of the material by using a preset distribution quantity determining rule, and the specific mode for obtaining the distribution quantity information is as follows:
determining periodic delivery quantity according to the delivery period;
and processing the periodic distribution quantity and the consumption speed by using a preset demand correction model to obtain distribution quantity information.
Therefore, the data processing device for material distribution described in fig. 4 can determine the periodic distribution amount through the distribution period, and obtain the distribution amount information through further processing of the demand correction model, which is more beneficial to realizing accurate matching of material demand and distribution, further reducing material distribution cost and improving operation efficiency.
In yet another alternative embodiment, as shown in fig. 4, the second processing sub-module 3032 determines a periodic delivery volume according to a delivery period, including:
determining the total demand amount in the current period according to the distribution period;
solving the model according to the current demand total amount and the preset amount, and determining a target amount model;
and analyzing the target quantity model to obtain the periodic distribution quantity.
Therefore, the data processing device for material distribution described in fig. 4 can obtain the target quantity model through comprehensive processing of the distribution period, and analyze the target quantity model to obtain the periodic distribution quantity, which is more beneficial to realizing accurate matching of material demand and distribution, further reducing material distribution cost and improving operation efficiency.
In yet another alternative embodiment, as shown in fig. 4, the material delivery parameter information includes delivery time information and delivery quantity information;
the second processing module 304 processes the material distribution parameter information by using a preset distribution instruction generation rule, and the specific manner of obtaining the distribution instruction set is as follows:
acquiring current time information;
judging whether the current time information and the delivery time information meet the time condition or not to obtain a second judging result;
and when the second judgment result is yes, determining a delivery instruction set according to the delivery quantity information.
Therefore, the data processing device for material distribution described in fig. 4 can determine the distribution parameter information by judging the real-time line side information and the distribution condition of the material and comprehensively processing the real-time line side information by utilizing the dynamic material distribution rule, and then generate the distribution instruction for indicating the material distribution by comprehensively processing the current time information and the material distribution parameter information, thereby being beneficial to realizing the accurate matching of the material requirement and distribution, further reducing the material distribution cost and improving the operation efficiency.
In yet another alternative embodiment, as shown in fig. 4, the second processing module 304 determines, according to the delivery quantity information, a specific manner of delivering the instruction set is:
processing real-time line side information of the material to obtain distribution path information;
acquiring distribution vehicle information;
generating a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used for instructing the delivery vehicle to load the materials with the quantity matched with the delivery vehicle;
generating a material distribution instruction according to the distribution path information and the distribution vehicle information; the material dispensing instructions are for instructing a dispensing vehicle to dispense material to the line side.
Therefore, the data processing device for material distribution described in fig. 4 can obtain the loading instruction and the material distribution instruction through comprehensive processing of the real-time line side information, the distribution vehicle information and the distribution quantity information of the material, which is more beneficial to realizing accurate matching of material demand and distribution, further reducing material distribution cost and improving operation efficiency.
Example IV
Referring to fig. 5, fig. 5 is a schematic structural diagram of a data processing device for material distribution according to another embodiment of the present invention. The device described in fig. 5 can be applied to a data processing system, such as a local server or a cloud server for data processing management of material distribution, and the embodiment of the invention is not limited. As shown in fig. 5, the apparatus may include:
a memory 401 storing executable program codes;
a processor 402 coupled with the memory 401;
processor 402 invokes executable program code stored in memory 401 for performing the steps in the data processing method for material delivery described in embodiment one or embodiment two.
Example five
The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps in the data processing method for material distribution described in the first or second embodiment.
Example six
Embodiments of the present invention disclose a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform the steps of the data processing method for material distribution described in embodiment one or embodiment two.
The apparatus embodiments described above are merely illustrative, in which the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the invention discloses a data processing method and a data processing device for material distribution, which are disclosed by the embodiment of the invention only for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. A data processing method for material distribution, the method comprising:
acquiring real-time line side information of a material;
judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judgment result;
when the first judgment result is yes, processing the real-time line side information of the materials by using a preset material dynamic distribution rule to obtain material distribution parameter information;
processing the material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set; the delivery instruction set is used for indicating material delivery.
2. The method for processing data for material distribution according to claim 1, wherein the processing the real-time line side information of the material by using a preset material dynamic distribution rule to obtain material distribution parameter information includes:
processing the real-time line side information of the material by using a preset distribution time determining rule to obtain distribution time information;
and processing the real-time line side information of the materials by using a preset distribution quantity determining rule to obtain distribution quantity information.
3. The data processing method for material distribution according to claim 2, wherein the processing the real-time line side information of the material using a preset distribution time determining rule to obtain distribution time information includes:
acquiring a line edge safety stock value;
processing the line-side safety stock value and the real-time line-side information of the material by using a preset first distribution time model to obtain a first distribution time;
processing the real-time line side information of the material by using a preset second distribution time model to obtain second distribution time;
and processing the first delivery time and the second delivery time by using a preset third delivery time model to obtain delivery time information.
4. The data processing method for material distribution according to claim 2, wherein the material real-time line side information includes a distribution period and a consumption rate;
the processing the real-time line side information of the material by using a preset distribution quantity determining rule to obtain distribution quantity information comprises the following steps:
determining periodic delivery quantity according to the delivery period;
and processing the periodic distribution quantity and the consumption speed by using a preset demand correction model to obtain distribution quantity information.
5. The method of claim 4, wherein determining the periodic delivery amount based on the delivery period comprises:
determining the total demand amount in the current period according to the distribution period;
solving the model according to the current demand total amount and the preset amount, and determining a target amount model;
and analyzing the target quantity model to obtain the periodic distribution quantity.
6. The data processing method for material distribution according to claim 1, wherein the material distribution parameter information includes distribution time information and distribution number information;
the processing the material distribution parameter information by using a preset distribution instruction generation rule to obtain a distribution instruction set, including:
acquiring current time information;
judging whether the current time information and the delivery time information meet a time condition or not to obtain a second judging result;
and when the second judgment result is yes, determining a distribution instruction set according to the distribution quantity information.
7. The method of claim 6, wherein determining a set of delivery instructions based on the delivery quantity information comprises:
processing the real-time line side information of the material to obtain distribution path information;
acquiring distribution vehicle information;
generating a loading instruction according to the delivery vehicle information and the delivery quantity information; the loading instruction is used for indicating the delivery vehicle to load the materials with the quantity matched with the delivery vehicle;
generating a material distribution instruction according to the distribution path information and the distribution vehicle information; the material delivery instruction is used for indicating the delivery vehicle to deliver the material to the line side.
8. A data processing apparatus for dispensing material, the apparatus comprising:
the acquisition module is used for acquiring real-time line side information of the materials;
the judging module is used for judging whether the real-time line side information of the material meets the distribution condition or not to obtain a first judging result;
the first processing module is used for processing the real-time line side information of the materials by utilizing a preset material dynamic distribution rule when the first judgment result is yes, so as to obtain material distribution parameter information;
the second processing module is used for processing the material distribution parameter information by utilizing a preset distribution instruction generation rule to obtain a distribution instruction set; the delivery instruction set is used for indicating material delivery.
9. A data processing apparatus for dispensing material, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the data processing method for material delivery as claimed in any one of claims 1 to 7.
10. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the data processing method for the distribution of materials according to any one of claims 1 to 7.
CN202111470764.3A 2021-12-03 2021-12-03 Data processing method and device for material distribution Pending CN116307959A (en)

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